Business Impact

  • 100%

    Accuracy for number transcriptions

  • 95%

    Accuracy for trading parameter transcriptions

Customer Key Facts

  • Location : North America
  • Industry : Technology

Problem Context

Cloud9 Technologies is the leading voice collaboration and analytics firm for the financial markets that is reinventing the way traders communicate. They had huge archives of trader voice recordings which needed to be audited to monitor trader behavior for financial trade execution, compliance and surveillance.



  • Overlapping speech data
  • Transcription of financial jargons
  • Lack of labeled data
  • 5-10 seconds of trade “shouts” in multiple accents

Technologies Used

Google ML Engine

Monitoring Financial Trader Behavior with a Domain-Adapted Speech Recognition Model


Quantiphi built a state-of-the-art speech recognition model for monitoring financial trader behavior. The custom Automated Speech Recognition (ASR) helped to accurately transcribe trader conversations with financial jargon and domain-specific terms to text.

Cloud9 Technologies also uses Quantiphi to inject powerful analytics into its platform driven by the data collected, providing users with the vital information they need on the trading floor. This includes text analytics-driven insights for frequently traded commodities, active buyers, purchased stocks, and more, further enhancing relationships with traders.


  • Better monitoring of trader behavior through domain-adapted custom speech recognition
  • Speech transcriptions with near human level accuracy
  • Streamlined and simplified storage of exceptionally large data volumes

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